Machine Learning Scientist
Variational AI
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇨🇦 Canada
Visit company websiteJob Level
JuniorMid-Level
Tech Stack
PythonPyTorch
About the role
- Design, implement, test, and refine novel elements of a machine learning architecture built to optimize the properties of small molecule drugs;
- Continually improve the robustness of the existing code base;
- Apply the pipeline to new drug targets.
Requirements
- Ph.D. in CS, applied mathematics, statistics, physics, or related discipline;
- Expertise with machine learning techniques, including diffusion models, Transformers, and Bayesian optimization, demonstrated through first-author publications in conferences like NeurIPS, ICLR, and ICML;
- Two or more years’ experience developing robust code on larger projects, including code review, refactoring, unit testing, version control, etc.;
- Mastery of Python and PyTorch;
- Intellectual curiosity and drive to excel.
Benefits
- Competitive mix of cash and options
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningdiffusion modelsTransformersBayesian optimizationPythonPyTorchcode reviewrefactoringunit testingversion control
Soft skills
intellectual curiositydrive to excel
Certifications
Ph.D.